144 related articles for article (PubMed ID: 33362125)
1. Improving characteristic band selection in leaf biochemical property estimation considering interrelations among biochemical parameters based on the PROSPECT-D model.
Yang J; Yang S; Zhang Y; Shi S; Du L
Opt Express; 2021 Jan; 29(1):400-414. PubMed ID: 33362125
[TBL] [Abstract][Full Text] [Related]
2. An extended PROSPECT: Advance in the leaf optical properties model separating total chlorophylls into chlorophyll a and b.
Zhang Y; Huang J; Wang F; Blackburn GA; Zhang HK; Wang X; Wei C; Zhang K; Wei C
Sci Rep; 2017 Jul; 7(1):6429. PubMed ID: 28743986
[TBL] [Abstract][Full Text] [Related]
3. Off-Nadir Hyperspectral Sensing for Estimation of Vertical Profile of Leaf Chlorophyll Content within Wheat Canopies.
Kong W; Huang W; Casa R; Zhou X; Ye H; Dong Y
Sensors (Basel); 2017 Nov; 17(12):. PubMed ID: 29168757
[TBL] [Abstract][Full Text] [Related]
4. Leaf Biochemistry Parameters Estimation of Vegetation Using the Appropriate Inversion Strategy.
Du L; Yang J; Sun J; Shi S; Gong W
Front Plant Sci; 2020; 11():533. PubMed ID: 32670300
[TBL] [Abstract][Full Text] [Related]
5. Data-Driven Methods for the Estimation of Leaf Water and Dry Matter Content: Performances, Potential and Limitations.
Yang B; Lin H; He Y
Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32967134
[TBL] [Abstract][Full Text] [Related]
6. Gaussian processes retrieval of leaf parameters from a multi-species reflectance, absorbance and fluorescence dataset.
Van Wittenberghe S; Verrelst J; Rivera JP; Alonso L; Moreno J; Samson R
J Photochem Photobiol B; 2014 May; 134():37-48. PubMed ID: 24792473
[TBL] [Abstract][Full Text] [Related]
7. [Estimation models for vegetation water content at both leaf and canopy levels].
Shen Y; Niu Z; Yan C
Ying Yong Sheng Tai Xue Bao; 2005 Jul; 16(7):1218-23. PubMed ID: 16252855
[TBL] [Abstract][Full Text] [Related]
8. Estimation of leaf traits from reflectance measurements: comparison between methods based on vegetation indices and several versions of the PROSPECT model.
Jiang J; Comar A; Burger P; Bancal P; Weiss M; Baret F
Plant Methods; 2018; 14():23. PubMed ID: 29581726
[TBL] [Abstract][Full Text] [Related]
9. Estimation of leaf water content from hyperspectral data of different plant species by using three new spectral absorption indices.
Li H; Yang W; Lei J; She J; Zhou X
PLoS One; 2021; 16(3):e0249351. PubMed ID: 33784352
[TBL] [Abstract][Full Text] [Related]
10. Chlorophyll content retrieval from hyperspectral remote sensing imagery.
Yang X; Yu Y; Fan W
Environ Monit Assess; 2015 Jul; 187(7):456. PubMed ID: 26095901
[TBL] [Abstract][Full Text] [Related]
11. [Dual NDVI Ratio Vegetation Index: A Kind of Vegetation Index Assessing Leaf Carotenoid Content Based on Leaf Optical Properties Model].
Wang H; Shi R; Liu PD; Gao W
Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Jul; 36(7):2189-94. PubMed ID: 30035980
[TBL] [Abstract][Full Text] [Related]
12. Predicting leaf gravimetric water content from foliar reflectance across a range of plant species using continuous wavelet analysis.
Cheng T; Rivard B; Sánchez-Azofeifa AG; Féret JB; Jacquemoud S; Ustin SL
J Plant Physiol; 2012 Aug; 169(12):1134-42. PubMed ID: 22608180
[TBL] [Abstract][Full Text] [Related]
13. [Analysis of spectral response of vegetation leaf biochemical components].
Sun L; Cheng LJ
Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Nov; 30(11):3031-5. PubMed ID: 21284178
[TBL] [Abstract][Full Text] [Related]
14. [Estimation of forest canopy chlorophyll content based on PROSPECT and SAIL models].
Yang XG; Fan WY; Yu Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Nov; 30(11):3022-6. PubMed ID: 21284176
[TBL] [Abstract][Full Text] [Related]
15. Towards a generic approach to remote non-invasive estimation of foliar carotenoid-to-chlorophyll ratio.
Gitelson A
J Plant Physiol; 2020 Sep; 252():153227. PubMed ID: 32683162
[TBL] [Abstract][Full Text] [Related]
16. PROSPECT-PMP+: Simultaneous Retrievals of Chlorophyll a and b, Carotenoids and Anthocyanins in the Leaf Optical Properties Model.
Zhang Y; Li X; Wang C; Zhang R; Jin L; He Z; Tian S; Wu K; Wang F
Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35459010
[TBL] [Abstract][Full Text] [Related]
17. [Simulation of vegetation indices optimizing under retrieval of vegetation biochemical parameters based on PROSPECT + SAIL model].
Wu L; Liu XN; Zhou BT; Liu CH; Li LF
Ying Yong Sheng Tai Xue Bao; 2012 Dec; 23(12):3250-6. PubMed ID: 23479863
[TBL] [Abstract][Full Text] [Related]
18. Non-destructive estimation of foliar carotenoid content of tree species using merged vegetation indices.
Fassnacht FE; Stenzel S; Gitelson AA
J Plant Physiol; 2015 Mar; 176():210-7. PubMed ID: 25512167
[TBL] [Abstract][Full Text] [Related]
19. [A inversion model for remote sensing of leaf water content based on the leaf optical property].
Fang MH; Ju WM
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Jan; 35(1):167-71. PubMed ID: 25993842
[TBL] [Abstract][Full Text] [Related]
20. From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance.
Serbin SP; Wu J; Ely KS; Kruger EL; Townsend PA; Meng R; Wolfe BT; Chlus A; Wang Z; Rogers A
New Phytol; 2019 Dec; 224(4):1557-1568. PubMed ID: 31418863
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]